Red Team Engineer, Safeguards

Doist; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking a Red Team Engineer to uncover vulnerabilities across our AI product ecosystem. You will simulate adversaries, perform comprehensive adversarial testing, and explore novel abuse vectors in our deployed systems.

You will design kill-chain style attacks, build automated testing frameworks, and collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements for safer AI.

Qualifications

• Experience in penetration testing, red teaming, or application security.
• Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors.
• Strong technical skills in web application security and security testing tools.

Responsibilities

• Conduct adversarial testing across Anthropic’s product surfaces with creative attack scenarios.
• Research and implement novel testing approaches for emerging AI capabilities.
• Design and execute full kill chain attacks emulating real threat actors.
• Build and maintain testing methodologies and automated frameworks for scalable assessment.
• Collaborate with Product, Engineering, and Policy teams to translate findings into improvements.
• Help establish metrics for detection effectiveness of novel abuse.

Skills

Penetration testing

Red teaming

Application security

Security tooling

LLM testing frameworks

Vulnerability research

Education

Bachelor's degree

Tools

Burp Suite

Metasploit

Custom scripting frameworks

LLM testing frameworks

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

The Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you’ll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities. While you’ll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You’ll investigate the full spectrum of potential abuse – from coordinated account manipulation and payment fraud to novel exploitation of product features – and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.

Key responsibilities

• Conduct comprehensive adversarial testing across Anthropic’s product surfaces, developing creative attack scenarios that combine multiple exploitation techniques
• Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms
• Design and execute "full kill chain" attacks that emulate real‑world threat actors attempting to achieve specific malicious objectives
• Build and maintain systematic testing methodologies that evaluate every aspect of our systems
• Develop automated testing frameworks to enable continuous assessment at scale
• Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements
• Help establish metrics for measuring detection effectiveness of novel abuse

Minimum qualifications

• Experience in penetration testing, red teaming, or application security
• Experience in model jailbreaking and testing large‑scale agentic workflows for non‑obvious prompt injection vectors
• Strong technical skills in web application security, including hands‑on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)
• Experience building custom automation, including LLM‑specific testing frameworks
• A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways
• A public body of work such as CVEs, blog posts, or disclosed bug bounty reports
• Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences

Preferred qualifications

• Experience with AI/ML security or adversarial machine learning
• Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks
• Experience testing API security and rate‑limiting systems
• Background in testing business logic vulnerabilities and authorization bypass techniques
• Background in anti‑fraud, trust & safety, or abuse prevention systems
• Familiarity with distributed systems and infrastructure security
• Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses
• Adaptability to understand and build engagements around emerging threats outside your direct area of expertise

Compensation

Annual salary: $320,000 – $405,000 USD.

Location & Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we’re not able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Diversity & Inclusion

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us.

Safety & Scams Precautions

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings.

Benefits

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Policy on AI Usage in Applications

Learn about our policy for using AI in our application process.